Multimedia University

Results: 543



#Item
361Accessibility / Disability / Education for the deaf / Assistive technology / National Technical Institute for the Deaf / Sign language / Rochester Institute of Technology / Closed captioning / State of New Mexico Commission for Deaf & Hard of Hearing / Deafness / Deaf culture / Otology

Using Networked Multimedia to Improve Educational Access for Deaf and Hard of Hearing Students Anna C. Cavender Computer Science and Engineering, University of Washington, Seattle, Washington [removed] E

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Source URL: www.annacavender.com

Language: English - Date: 2007-11-28 16:27:25
362Statistical classification / Vision / Computer vision / Optics / Boosting methods for object categorization / Parts of speech / Artificial intelligence / Classifier

Spatial Semantics and Classifier Cascades The ANU 2011 Multimedia Event Detection System Lexing Xie∗ , Xuming He†∗ ∗ Australian National University, † National ICT Australia (NICTA)

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2012-01-10 13:32:23
363Query / Multimedia / Technology / Video copy detection

TRECVID-2008 Content-based Copy Detection task Overview Wessel Kraaij TNO // Radboud University George Awad, Paul Over NIST

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2008-12-17 12:10:32
364Vision / Multimedia / Optics / Technology / Video copy detection / Feature / Segmentation / Key frame / Color layout descriptor / Image processing / Computer vision / Imaging

Fudan University at TRECVID 2009: High-Level Feature Extraction and Copy Detection Xiangyang Xue, Yingbin Zheng, Hong Liu, Zhaohui Wen, Xiaochuan Guo, Renzhong Wei, Hong Lu, Qi Zhang Shanghai Key Laboratory of Intelligen

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2009-12-07 10:16:42
365Imaging / Artificial intelligence / Multimedia Information Retrieval / Information retrieval / Feature / Segmentation / Face detection / Boosting methods for object categorization / Image processing / Computer vision / Vision

University of Marburg at TRECVID 2009: High-Level Feature Extraction Markus Mühling1,2, Ralph Ewerth1,2, Thilo Stadelmann1,2, Bing Shi2, and Bernd Freisleben 1,2 SFB/FK615, University of Siegen, D[removed]Siegen, Germany

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2009-12-07 10:16:50
366Imaging / Information retrieval / Multimedia Information Retrieval / TRECVID / Object recognition / YouTube / Key frame / Pattern recognition / Large Scale Concept Ontology for Multimedia / Vision / Computer vision / Information science

Learning TRECVID’08 High-Level Features from YouTubeTM Adrian Ulges German Research Center for Artificial Intelligence (DFKI) [removed] Markus Koch Department of Computer Science, Technical University K

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2009-03-05 14:01:54
367Imaging / Image processing / Image search / Artificial intelligence applications / Image retrieval / Information retrieval / Content-based image retrieval / Segmentation / Scale space / Computer vision / Vision / Artificial intelligence

Retrieval of trademark and gray-scale images using global similarity S. Ravela, R. Manmatha and W. Bruce Croft Multimedia Indexing and Retrieval Group Center for Intelligent Information Retrieval University

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Source URL: ciir.cs.umass.edu

Language: English - Date: 2000-11-15 13:09:37
368Text Retrieval Conference / TRECVID / Relevance feedback / Query expansion / Multimedia Information Retrieval / Image retrieval / Key frame / Speech recognition / Relevance / Information science / Information retrieval / Science

Glasgow University at TRECVID 2006 Jana Urban, Xavier Hilaire, Frank Hopfgartner, Robert Villa and Joemon M. Jose Department of Computing Science University of Glasgow, UK

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2007-03-13 13:55:29
369Natural language processing / Computational linguistics / TRECVID / Multimedia Information Retrieval / Text Retrieval Conference / Document retrieval / Precision and recall / Speech recognition / Information science / Information retrieval / Science

TRECVid 2007 Experiments at Dublin City University Peter Wilkins, Tomasz Adamek, Gareth J.F. Jones, Noel E. O’Connor, and Alan F. Smeaton, Centre for Digital Video Processing & Adaptive Information Cluster Dublin City

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2007-11-28 11:17:06
370Science / Computer vision / Information retrieval / Natural language processing / Multimedia Information Retrieval / Face detection / Semantic network / Comparison of C Sharp and Java / Artificial intelligence / Information science / Knowledge representation

University of Marburg at TRECVID 2011: Semantic Indexing Task Markus Mühling, Khalid Ballafkir, Ralph Ewerth, and Bernd Freisleben Department of Mathematics & Computer Science University of Marburg Hans-Meerwein-Str. 3,

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2012-01-10 13:32:28
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